BLIND CHANNEL ESTIMATION OF SPACE-TIME FREQUENCY-SHIFT KEYING

摘要

The decoupled coherent Maximum Likelihood (ML) detection algorithm presented in this lettercan sharply reduce the complexity of the receiver as well as provide better error performance under the pre-condition that channel should be estimated first. Considering the bandwidth inefficiency of Frequency ShiftKeying (FSK), the acquisition of channel state information through training sequences will further decreasethe transmission efficiency. This letter presents a blind channel estimation algorithm based on noise subspacetheory which can acquire channel information without any training symbols. The simulation shows that thealgorithm brings about fewer channel estimation errors while the frequency efficiency can be increased.